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Dec 17, 2025 | 9:00am – 5:00pm
HUN-REN SZTAKI, 13-17 Kende utca basement

The NTU-HUN-REN machine learning workshop

Times (except start and finish) are tentative, order of the talks might
change
9:00 Arrival, welcome, coffee
9:30 András Benczur: Introduction - the NTU-HUN-REN collaboration topics
9:45 Florian Rossmannek: Stochastic echo states and fading memory in
state-space systems
10:30 Lyudmila Grigoryeva: TBA
11:00 Juan-Pablo Ortega: Kernel methods for the structure-preserving
learning of Hamiltonian systems
11:30 Mihály Petreczky: Realization theory
12:00 Dániel Rácz: Rademacher contraction of deep structures
12:30 Bálint Daróczy: Norm based generalization bounds

13:00 Buffet lunch

14:00 Dániel Paulin: Efficient Markov Chain Monte Carlo by Ensemble
Adaptation
14:30 Ádám Jung: Nonparametric distribution regression re-calibration
15:00 Noémi Friedman: Digital twinning for design follow-up and
structural health monitoring
15:30 Balázs Csáji: Derandomizing Confidence Bands via Improved Norm
Bounds and Majority Voting
16:00 More Hungarian presenters TBC
17:00 End of program
Depending on pending speakers, we plan to have a morning and and
afternoon coffee break as well.

Register here:

https://forms.gle/FkhzpGnCptnXEh9HA

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